Showing 2 open source projects for "neural net python"

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  • 1
    Autograd

    Autograd

    Efficiently computes derivatives of numpy code

    Autograd can automatically differentiate native Python and Numpy code. It can handle a large subset of Python's features, including loops, ifs, recursion and closures, and it can even take derivatives of derivatives of derivatives. It supports reverse-mode differentiation (a.k.a. backpropagation), which means it can efficiently take gradients of scalar-valued functions with respect to array-valued arguments, as well as forward-mode differentiation, and the two can be composed arbitrarily...
    Downloads: 4 This Week
    Last Update:
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  • 2
    Edge.js

    Edge.js

    Run .NET and Node.js code in-process on Windows, MacOS, and Linux

    ... ensures correct lifetime of objects on V8 and CLR heaps. The CLR code can be pre-compiled or specified as C#, F#, Python, or PowerShell source: Edge.js can compile CLR scripts at runtime. Edge can be extended to support other CLR languages or DSLs. Edge.js provides an asynchronous, in-process mechanism for interoperability between Node.js and .NET.
    Downloads: 1 This Week
    Last Update:
    See Project
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